Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent ...

This Python (3.9) Jupyter notebook script adapts SVAR estimation to panel data. It uses LSDV OLS to estimate the reduced form VAR and groups the residuals to form a single covariance matrix (much like ...

spsiv generates Synthetic Instrumental Variables (SIV) for spatial regression. The command uses the spatial filter procedure to generate appropriate instrumental variables for both spatial and spatial ...

In this paper, we study the least squares (LS) estimator in a linear panel regression model with unknown number of factors appearing as interactive fixed effects. Assuming that the number of factors ...

ABSTRACT: This study investigated how the management accounting decision-making framework is applied in the alignment of distribution cost within the banking business model by analyzing the extent of ...

Abstract: Multinomial logistic regression is only for the cross-sectional data(In this study, we adopt the mean of three times surveys.), can not be integrated in the dynamic impact and change in ...

ABSTRACT: Road transport carbon dioxide emissions were analyzed, by focusing on a panel of 14 European countries for the time span 1995-2007. We deal with the existence of contemporaneous correlation ...